Machine Learning
263 learners
Navigating Data Simplification with PCA
Grasp the essentials of dimensionality reduction and lay the groundwork for your journey by understanding and implementing Principal Component Analysis (PCA) using Python's Scikit-learn. This launchpad course provides a comprehensive introduction into why, how and when to use PCA for feature extraction and enhancing computational efficiency in high-dimensional data sets.
MatPlotLib
Numpy
Python
Scikit-learn
4 lessons
14 practices
3 hours
Feature Engineering
Course details
Visualizing Dimensionality Reduction with PCA
Navigating Dimensionality: Simplifying to One Principal Component
Crafting the PCA Function
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
